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The impact of weather on crop yield distribution in Taiwan: some new evidence from panel data models and implications for crop insurance

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  • Chi-Chung Chen
  • Ching-Cheng Chang

Abstract

This study examines the impact of weather on the yields of seven major crops in Taiwan based on pooled panel data for 15 prefectures over the 1977-1996 period. The unit root tests and maximum likelihood methods involving a panel data model are explored to obtain reliable estimates. The uncertain yield outcome is incorporated into a discrete stochastic programming model to address a comparison between sector analysis with and without considerations of a crop insurance policy under different climate change scenarios. Simulation results suggest that crop insurance may stabilize revenues and protect farmers from exposures to increasing weather-related risk. Copyright 2005 International Association of Agricultural Economics.

Suggested Citation

  • Chi-Chung Chen & Ching-Cheng Chang, 2005. "The impact of weather on crop yield distribution in Taiwan: some new evidence from panel data models and implications for crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 33(s3), pages 503-511, November.
  • Handle: RePEc:bla:agecon:v:33:y:2005:i:s3:p:503-511
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    Cited by:

    1. Agabriel, Jacques & Lherm, Michel & Mosnier, Claire & Reynaud, Arnaud & Thomas, Alban, 2009. "Estimating a Production Function under Production and Output Price Risks: An Application to Beef Cattle in France," TSE Working Papers 09-046, Toulouse School of Economics (TSE).
    2. Spencer, Nekeisha & Polachek, Solomon, 2015. "Hurricane watch: Battening down the effects of the storm on local crop production," Ecological Economics, Elsevier, vol. 120(C), pages 234-240.
    3. Kim, Man-Keun & Pang, Arwin, 2009. "Climate Change Impact on Rice Yield and Production Risk," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 32(2), June.
    4. Chih-Chun Kung & Meng-Shiuh Chang, 2015. "Effect of Agricultural Feedstock to Energy Conversion Rate on Bioenergy and GHG Emissions," Sustainability, MDPI, Open Access Journal, vol. 7(5), pages 1-15, May.
    5. Mario Cunha & Christian Richter, 2016. "The impact of climate change on the winegrape vineyards of the Portuguese Douro region," Climatic Change, Springer, vol. 138(1), pages 239-251, September.
    6. V. Saravanakumar, "undated". "Impact of Climate Change on Yield of Major Food Crops in Tamil Nadu, India," Working papers 91, The South Asian Network for Development and Environmental Economics.
    7. Meza-Pale, Pablo & Yunez-Naude, Antonio, 2015. "The Effect of Rainfall Variation on Agricultural Households: Evidence from Mexico," 2015 Conference, August 9-14, 2015, Milan, Italy 212457, International Association of Agricultural Economists.
    8. Fernandez, Mario Andres, 2013. "Decadal Climate Variability: Economic Implications In Agriculture And Water In The Missouri River Basin," 2013 Conference, August 28-30, 2013, Christchurch, New Zealand 160199, New Zealand Agricultural and Resource Economics Society.
    9. Kung, Chih-Chun & Zhang, Ning, 2015. "Renewable energy from pyrolysis using crops and agricultural residuals: An economic and environmental evaluation," Energy, Elsevier, vol. 90(P2), pages 1532-1544.
    10. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Hsu, Shih-Hsun, 2008. "Total factor productivity growth in China's agricultural sector," China Economic Review, Elsevier, vol. 19(4), pages 580-593, December.
    11. Kung, Chih-Chun & McCarl, Bruce A. & Cao, Xiaoyong, 2013. "Economics of pyrolysis-based energy production and biochar utilization: A case study in Taiwan," Energy Policy, Elsevier, vol. 60(C), pages 317-323.
    12. Chih-Chun Kung & Hualin Xie & Tao Wu & Shih-Chih Chen, 2014. "Biofuel for Energy Security: An Examination on Pyrolysis Systems with Emissions from Fertilizer and Land-Use Change," Sustainability, MDPI, Open Access Journal, vol. 6(2), pages 1-18, January.
    13. Kung, Chih-Chun & Zhang, Liguo & Kong, Fanbin, 2016. "How government subsidy leads to sustainable bioenergy development," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 275-284.

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